Estimating temperature effects on the Italian electricity market
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DOI: 10.1016/j.enpol.2018.03.068
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Citations
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Cited by:
- Marwan, Marwan, 2020. "The impact of probability of electricity price spike and outside temperature to define total expected cost for air conditioning," Energy, Elsevier, vol. 195(C).
- Leonardo Bortolan & Atreya Dey & Luca Taschini, 2024. "Volatile Temperatures and Their Effects on Equity Returns and Firm Performance," CESifo Working Paper Series 11438, CESifo.
- Mosquera-López, Stephanía & Uribe, Jorge M. & Manotas-Duque, Diego F., 2018. "Effect of stopping hydroelectric power generation on the dynamics of electricity prices: An event study approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 456-467.
- Alcantara da Silva Neto, Waldemiro & Vaz Lobo Bittencourt, Mauricio & Eduardo Monsueto, Sandro, 2024. "Addressing low-quality electricity service for low-income consumers: Empirical evidence from Brazil," Utilities Policy, Elsevier, vol. 88(C).
- Chabouni, Naima & Belarbi, Yacine & Benhassine, Wassim, 2020. "Electricity load dynamics, temperature and seasonality Nexus in Algeria," Energy, Elsevier, vol. 200(C).
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More about this item
Keywords
Hourly electricity market; Temperature effects; Hourly temperature data; Vector autoregression; Non-parametric regression;All these keywords.
JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- D4 - Microeconomics - - Market Structure, Pricing, and Design
- Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
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